Overview

Dataset statistics

Number of variables63
Number of observations266
Missing cells11532
Missing cells (%)68.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.5 KiB
Average record size in memory617.9 B

Variable types

Categorical2
Unsupported41
Numeric20

Alerts

Country Name has a high cardinality: 266 distinct values High cardinality
Country Code has a high cardinality: 266 distinct values High cardinality
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
1960 has 266 (100.0%) missing values Missing
1961 has 266 (100.0%) missing values Missing
1962 has 266 (100.0%) missing values Missing
1963 has 266 (100.0%) missing values Missing
1964 has 266 (100.0%) missing values Missing
1965 has 266 (100.0%) missing values Missing
1966 has 266 (100.0%) missing values Missing
1967 has 266 (100.0%) missing values Missing
1968 has 266 (100.0%) missing values Missing
1969 has 266 (100.0%) missing values Missing
1970 has 266 (100.0%) missing values Missing
1971 has 266 (100.0%) missing values Missing
1972 has 266 (100.0%) missing values Missing
1973 has 266 (100.0%) missing values Missing
1974 has 266 (100.0%) missing values Missing
1975 has 266 (100.0%) missing values Missing
1976 has 266 (100.0%) missing values Missing
1977 has 266 (100.0%) missing values Missing
1978 has 266 (100.0%) missing values Missing
1979 has 266 (100.0%) missing values Missing
1980 has 266 (100.0%) missing values Missing
1981 has 266 (100.0%) missing values Missing
1982 has 266 (100.0%) missing values Missing
1983 has 266 (100.0%) missing values Missing
1984 has 266 (100.0%) missing values Missing
1985 has 266 (100.0%) missing values Missing
1986 has 266 (100.0%) missing values Missing
1987 has 266 (100.0%) missing values Missing
1988 has 266 (100.0%) missing values Missing
1989 has 266 (100.0%) missing values Missing
1990 has 266 (100.0%) missing values Missing
1991 has 266 (100.0%) missing values Missing
1992 has 266 (100.0%) missing values Missing
1993 has 266 (100.0%) missing values Missing
1994 has 266 (100.0%) missing values Missing
1995 has 266 (100.0%) missing values Missing
1996 has 266 (100.0%) missing values Missing
1997 has 266 (100.0%) missing values Missing
1998 has 266 (100.0%) missing values Missing
1999 has 266 (100.0%) missing values Missing
2000 has 34 (12.8%) missing values Missing
2001 has 34 (12.8%) missing values Missing
2002 has 33 (12.4%) missing values Missing
2003 has 31 (11.7%) missing values Missing
2004 has 31 (11.7%) missing values Missing
2005 has 31 (11.7%) missing values Missing
2006 has 31 (11.7%) missing values Missing
2007 has 31 (11.7%) missing values Missing
2008 has 31 (11.7%) missing values Missing
2009 has 31 (11.7%) missing values Missing
2010 has 30 (11.3%) missing values Missing
2011 has 29 (10.9%) missing values Missing
2012 has 30 (11.3%) missing values Missing
2013 has 31 (11.7%) missing values Missing
2014 has 31 (11.7%) missing values Missing
2015 has 31 (11.7%) missing values Missing
2016 has 32 (12.0%) missing values Missing
2017 has 31 (11.7%) missing values Missing
2018 has 31 (11.7%) missing values Missing
2019 has 32 (12.0%) missing values Missing
2020 has 266 (100.0%) missing values Missing
Country Name is uniformly distributed Uniform
Country Code is uniformly distributed Uniform
Country Name has unique values Unique
Country Code has unique values Unique
1960 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1961 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1962 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1963 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1964 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1965 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1966 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1967 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1968 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1969 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1970 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1971 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1972 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1973 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1974 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1975 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1976 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1977 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1978 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1979 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1980 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1981 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1982 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1983 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1984 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1985 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1986 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1987 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1988 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1989 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1990 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1991 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1992 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1993 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1994 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1995 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1996 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1997 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1998 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1999 is an unsupported type, check if it needs cleaning or further analysis Unsupported
2020 is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-04-02 19:30:36.896156
Analysis finished2022-04-02 19:31:19.137369
Duration42.24 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Country Name
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.2 KiB
Aruba
 
1
Oman
 
1
Malawi
 
1
Malaysia
 
1
North America
 
1
Other values (261)
261 

Length

Max length52
Median length9
Mean length12.40225564
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st rowAruba
2nd rowAfrica Eastern and Southern
3rd rowAfghanistan
4th rowAfrica Western and Central
5th rowAngola

Common Values

ValueCountFrequency (%)
Aruba1
 
0.4%
Oman1
 
0.4%
Malawi1
 
0.4%
Malaysia1
 
0.4%
North America1
 
0.4%
Namibia1
 
0.4%
New Caledonia1
 
0.4%
Niger1
 
0.4%
Nigeria1
 
0.4%
Nicaragua1
 
0.4%
Other values (256)256
96.2%

Length

2022-04-02T14:31:19.223168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20
 
4.0%
and12
 
2.4%
income11
 
2.2%
ida10
 
2.0%
islands9
 
1.8%
africa9
 
1.8%
ibrd8
 
1.6%
asia8
 
1.6%
countries7
 
1.4%
rep7
 
1.4%
Other values (310)404
80.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Country Code
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
ABW
 
1
OMN
 
1
MWI
 
1
MYS
 
1
NAC
 
1
Other values (261)
261 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st rowABW
2nd rowAFE
3rd rowAFG
4th rowAFW
5th rowAGO

Common Values

ValueCountFrequency (%)
ABW1
 
0.4%
OMN1
 
0.4%
MWI1
 
0.4%
MYS1
 
0.4%
NAC1
 
0.4%
NAM1
 
0.4%
NCL1
 
0.4%
NER1
 
0.4%
NGA1
 
0.4%
NIC1
 
0.4%
Other values (256)256
96.2%

Length

2022-04-02T14:31:19.333872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
abw1
 
0.4%
aut1
 
0.4%
btn1
 
0.4%
brn1
 
0.4%
afg1
 
0.4%
afw1
 
0.4%
ago1
 
0.4%
alb1
 
0.4%
and1
 
0.4%
arb1
 
0.4%
Other values (256)256
96.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1960
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1961
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1962
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1963
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1964
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1965
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1966
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1967
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1968
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1969
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1970
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1971
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1972
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1973
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1974
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1975
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1976
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1977
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1978
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1979
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1980
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1981
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1982
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1983
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1984
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1985
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1986
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1987
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1988
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1989
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1990
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1991
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1992
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1993
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1994
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1995
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1996
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1997
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1998
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1999
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct229
Distinct (%)98.7%
Missing34
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean5.600017169
Minimum1.50500607
Maximum24.24389076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:19.438764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.50500607
5-th percentile2.322820738
Q13.97346574
median5.044725002
Q36.787343145
95-th percentile9.490320152
Maximum24.24389076
Range22.73888469
Interquartile range (IQR)2.813877405

Descriptive statistics

Standard deviation2.732381772
Coefficient of variation (CV)0.4879238205
Kurtosis12.29209238
Mean5.600017169
Median Absolute Deviation (MAD)1.403023141
Skewness2.521380574
Sum1299.203983
Variance7.465910147
MonotonicityNot monotonic
2022-04-02T14:31:19.561992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.4035560642
 
0.8%
3.7187848612
 
0.8%
4.7220686352
 
0.8%
4.861634251
 
0.4%
3.125985381
 
0.4%
2.895819661
 
0.4%
2.75617481
 
0.4%
2.514633661
 
0.4%
12.197427191
 
0.4%
9.637925151
 
0.4%
Other values (219)219
82.3%
(Missing)34
 
12.8%
ValueCountFrequency (%)
1.505006071
0.4%
1.550400381
0.4%
1.736223341
0.4%
1.852976561
0.4%
1.908599381
0.4%
1.972584961
0.4%
1.995493411
0.4%
2.01841761
0.4%
2.071443561
0.4%
2.146531341
0.4%
ValueCountFrequency (%)
24.243890761
0.4%
19.046257021
0.4%
18.123746871
0.4%
12.484319691
0.4%
12.197427191
0.4%
11.517329221
0.4%
10.832974431
0.4%
10.510906221
0.4%
9.88819791
0.4%
9.637925151
0.4%

2001
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct230
Distinct (%)99.1%
Missing34
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean5.718457953
Minimum1.76396823
Maximum19.18874931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:19.679248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.76396823
5-th percentile2.692598012
Q14.047383308
median5.184109662
Q36.986538175
95-th percentile9.872311741
Maximum19.18874931
Range17.42478108
Interquartile range (IQR)2.939154867

Descriptive statistics

Standard deviation2.52036784
Coefficient of variation (CV)0.4407425674
Kurtosis4.864998956
Mean5.718457953
Median Absolute Deviation (MAD)1.366346703
Skewness1.637460871
Sum1326.682245
Variance6.35225405
MonotonicityNot monotonic
2022-04-02T14:31:19.802947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.4050441842
 
0.8%
5.1107199112
 
0.8%
5.667214391
 
0.4%
2.30063821
 
0.4%
3.571846721
 
0.4%
2.960846421
 
0.4%
2.385085821
 
0.4%
2.67539741
 
0.4%
12.867348851
 
0.4%
9.532119751
 
0.4%
Other values (220)220
82.7%
(Missing)34
 
12.8%
ValueCountFrequency (%)
1.763968231
0.4%
2.063750511
0.4%
2.11850191
0.4%
2.148819211
0.4%
2.185296771
0.4%
2.203527451
0.4%
2.30063821
0.4%
2.31970931
0.4%
2.385085821
0.4%
2.484370471
0.4%
ValueCountFrequency (%)
19.188749311
0.4%
16.352001191
0.4%
15.502266881
0.4%
13.163625721
0.4%
12.867348851
0.4%
12.329344751
0.4%
10.972512251
0.4%
10.831803321
0.4%
10.565922741
0.4%
10.073650331
0.4%

2002
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct230
Distinct (%)98.7%
Missing33
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean5.808135934
Minimum1.70167685
Maximum14.37911701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:20.128629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.70167685
5-th percentile2.69813137
Q14.1731143
median5.142166658
Q37.13073444
95-th percentile10.13643436
Maximum14.37911701
Range12.67744016
Interquartile range (IQR)2.95762014

Descriptive statistics

Standard deviation2.412563744
Coefficient of variation (CV)0.4153765978
Kurtosis1.098458792
Mean5.808135934
Median Absolute Deviation (MAD)1.392670379
Skewness1.006018953
Sum1353.295673
Variance5.820463817
MonotonicityNot monotonic
2022-04-02T14:31:20.253295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9040386822
 
0.8%
3.946616822
 
0.8%
5.0068138012
 
0.8%
5.384435181
 
0.4%
3.929912331
 
0.4%
3.231903551
 
0.4%
3.775869611
 
0.4%
2.668765541
 
0.4%
13.648567151
 
0.4%
9.733865741
 
0.4%
Other values (220)220
82.7%
(Missing)33
 
12.4%
ValueCountFrequency (%)
1.701676851
0.4%
1.790354731
0.4%
1.980627181
0.4%
2.259729151
0.4%
2.347208261
0.4%
2.460440871
0.4%
2.490640161
0.4%
2.537981751
0.4%
2.578541281
0.4%
2.637673141
0.4%
ValueCountFrequency (%)
14.379117011
0.4%
13.981850621
0.4%
13.648567151
0.4%
13.284848211
0.4%
13.19442941
0.4%
11.90127851
0.4%
11.421024321
0.4%
10.662792211
0.4%
10.516928131
0.4%
10.345631471
0.4%

2003
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5.897739867
Minimum1.91852152
Maximum15.41858196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:20.371949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.91852152
5-th percentile2.811258726
Q14.18521261
median5.34231567
Q37.184684755
95-th percentile10.09079609
Maximum15.41858196
Range13.50006044
Interquartile range (IQR)2.999472145

Descriptive statistics

Standard deviation2.407513055
Coefficient of variation (CV)0.4082094344
Kurtosis1.612005002
Mean5.897739867
Median Absolute Deviation (MAD)1.36545801
Skewness1.079688437
Sum1385.968869
Variance5.79611911
MonotonicityNot monotonic
2022-04-02T14:31:20.506618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8985967362
 
0.8%
3.7212582962
 
0.8%
5.0058209662
 
0.8%
5.236764911
 
0.4%
9.531133651
 
0.4%
4.674836641
 
0.4%
2.924170971
 
0.4%
14.100826431
 
0.4%
9.878484731
 
0.4%
4.779540541
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.918521521
0.4%
1.978408341
0.4%
2.084641461
0.4%
2.248371841
0.4%
2.309588431
0.4%
2.381265881
0.4%
2.431378841
0.4%
2.453148841
0.4%
2.606105331
0.4%
2.646343951
0.4%
ValueCountFrequency (%)
15.418581961
0.4%
14.498639111
0.4%
14.330156331
0.4%
14.100826431
0.4%
12.61782361
0.4%
10.829051971
0.4%
10.699370261
0.4%
10.669352531
0.4%
10.515701611
0.4%
10.473670241
0.4%

2004
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5.950361639
Minimum1.66348076
Maximum17.25741196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:20.637268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.66348076
5-th percentile2.739575909
Q14.290606735
median5.34494877
Q37.412343505
95-th percentile10.26537208
Maximum17.25741196
Range15.5939312
Interquartile range (IQR)3.12173677

Descriptive statistics

Standard deviation2.460311273
Coefficient of variation (CV)0.4134725621
Kurtosis1.946159558
Mean5.950361639
Median Absolute Deviation (MAD)1.43661833
Skewness1.109953499
Sum1398.334985
Variance6.053131558
MonotonicityNot monotonic
2022-04-02T14:31:20.759912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8730195312
 
0.8%
3.6974145492
 
0.8%
4.7857087932
 
0.8%
4.764297491
 
0.4%
6.573166851
 
0.4%
5.733373641
 
0.4%
2.860169411
 
0.4%
14.166115711
 
0.4%
10.187275891
 
0.4%
5.011174681
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.663480761
0.4%
1.921523691
0.4%
2.120022771
0.4%
2.12650491
0.4%
2.318222051
0.4%
2.339502811
0.4%
2.34722711
0.4%
2.357024431
0.4%
2.462043521
0.4%
2.55522681
0.4%
ValueCountFrequency (%)
17.257411961
0.4%
14.594809531
0.4%
14.166115711
0.4%
12.420288091
0.4%
12.027156831
0.4%
11.869796751
0.4%
10.960553171
0.4%
10.675805491
0.4%
10.577513691
0.4%
10.567721371
0.4%

2005
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5.989091494
Minimum1.49993956
Maximum21.95516396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:20.889592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.49993956
5-th percentile2.579898692
Q14.12193084
median5.28044796
Q37.652010205
95-th percentile10.30734091
Maximum21.95516396
Range20.4552244
Interquartile range (IQR)3.530079365

Descriptive statistics

Standard deviation2.711046074
Coefficient of variation (CV)0.4526639937
Kurtosis5.73340533
Mean5.989091494
Median Absolute Deviation (MAD)1.448289233
Skewness1.642886512
Sum1407.436501
Variance7.349770816
MonotonicityNot monotonic
2022-04-02T14:31:21.002291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.6587816782
 
0.8%
3.6247968982
 
0.8%
4.5740396262
 
0.8%
4.85722781
 
0.4%
10.305541041
 
0.4%
6.055050851
 
0.4%
2.786926981
 
0.4%
14.145234821
 
0.4%
10.192303661
 
0.4%
5.676365851
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.499939561
0.4%
1.717740541
0.4%
2.013138291
0.4%
2.116396191
0.4%
2.236788511
0.4%
2.261076691
0.4%
2.320196871
0.4%
2.33031941
0.4%
2.413635971
0.4%
2.448740481
0.4%
ValueCountFrequency (%)
21.955163961
0.4%
17.733066561
0.4%
14.605045321
0.4%
14.145234821
0.4%
11.516304021
0.4%
11.507686611
0.4%
11.359074591
0.4%
11.037729261
0.4%
10.75108111
0.4%
10.514613521
0.4%

2006
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5.952669194
Minimum1.51855373
Maximum22.0241642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:21.119011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.51855373
5-th percentile2.46687832
Q14.181100845
median5.29366922
Q37.717545275
95-th percentile10.43912849
Maximum22.0241642
Range20.50561047
Interquartile range (IQR)3.53644443

Descriptive statistics

Standard deviation2.653361974
Coefficient of variation (CV)0.4457432266
Kurtosis5.384325411
Mean5.952669194
Median Absolute Deviation (MAD)1.566589054
Skewness1.504298441
Sum1398.877261
Variance7.040329764
MonotonicityNot monotonic
2022-04-02T14:31:21.232708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5176360772
 
0.8%
3.5481613652
 
0.8%
4.4778380662
 
0.8%
5.124022961
 
0.4%
12.417616841
 
0.4%
6.916420941
 
0.4%
3.108977321
 
0.4%
14.249679091
 
0.4%
10.139953611
 
0.4%
5.808914181
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.518553731
0.4%
1.70861281
0.4%
1.821309921
0.4%
1.917124391
0.4%
2.019494771
0.4%
2.066783911
0.4%
2.251687051
0.4%
2.288064241
0.4%
2.310921911
0.4%
2.32541371
0.4%
ValueCountFrequency (%)
22.02416421
0.4%
14.718341831
0.4%
14.249679091
0.4%
13.379019741
0.4%
12.417616841
0.4%
11.576506611
0.4%
10.833978761
0.4%
10.741291051
0.4%
10.622765541
0.4%
10.566759831
0.4%

2007
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5.957853897
Minimum1.57114804
Maximum24.23068047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:21.350370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.57114804
5-th percentile2.56368072
Q14.122161865
median5.28883219
Q37.574843645
95-th percentile10.62147255
Maximum24.23068047
Range22.65953243
Interquartile range (IQR)3.45268178

Descriptive statistics

Standard deviation2.801977973
Coefficient of variation (CV)0.4702998801
Kurtosis8.322185993
Mean5.957853897
Median Absolute Deviation (MAD)1.5929017
Skewness1.964344755
Sum1400.095666
Variance7.851080564
MonotonicityNot monotonic
2022-04-02T14:31:21.468619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.3947616562
 
0.8%
3.4865050882
 
0.8%
4.4946384242
 
0.8%
5.520157341
 
0.4%
24.230680471
 
0.4%
7.663156031
 
0.4%
3.070411441
 
0.4%
14.431968741
 
0.4%
10.716330531
 
0.4%
5.388388161
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.571148041
0.4%
1.788150551
0.4%
1.902000781
0.4%
1.926736591
0.4%
1.961595061
0.4%
1.990214351
0.4%
2.023572211
0.4%
2.070080521
0.4%
2.421020981
0.4%
2.42576481
0.4%
ValueCountFrequency (%)
24.230680471
0.4%
18.067039491
0.4%
14.938820841
0.4%
14.431968741
0.4%
11.352851871
0.4%
11.27195931
0.4%
11.05850411
0.4%
11.020668031
0.4%
10.967491151
0.4%
10.832260351
0.4%

2008
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.010766469
Minimum1.63775349
Maximum23.0041008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:21.596012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.63775349
5-th percentile2.609528848
Q14.001689212
median5.30251694
Q37.715126515
95-th percentile10.72833438
Maximum23.0041008
Range21.36634731
Interquartile range (IQR)3.713437303

Descriptive statistics

Standard deviation2.849582862
Coefficient of variation (CV)0.4740797829
Kurtosis5.717055501
Mean6.010766469
Median Absolute Deviation (MAD)1.570807056
Skewness1.664760891
Sum1412.53012
Variance8.120122489
MonotonicityNot monotonic
2022-04-02T14:31:21.716271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.138254522
 
0.8%
3.4585423822
 
0.8%
4.5062444222
 
0.8%
5.051279541
 
0.4%
23.00410081
 
0.4%
8.598217011
 
0.4%
3.006925341
 
0.4%
14.726630821
 
0.4%
9.918011671
 
0.4%
5.223033431
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.637753491
0.4%
1.828987721
0.4%
1.878780131
0.4%
1.924003121
0.4%
1.92418171
0.4%
1.938808921
0.4%
2.012227061
0.4%
2.108730791
0.4%
2.135260581
0.4%
2.239270211
0.4%
ValueCountFrequency (%)
23.00410081
0.4%
17.091535571
0.4%
15.26701451
0.4%
14.726630821
0.4%
14.075390821
0.4%
11.991379741
0.4%
11.471041681
0.4%
11.314228061
0.4%
11.040991841
0.4%
10.949200631
0.4%

2009
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.382941676
Minimum1.84398258
Maximum16.42785454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:21.838266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.84398258
5-th percentile2.789614559
Q14.341473815
median5.57050994
Q38.062856195
95-th percentile11.4027157
Maximum16.42785454
Range14.58387196
Interquartile range (IQR)3.72138238

Descriptive statistics

Standard deviation2.78359228
Coefficient of variation (CV)0.436098655
Kurtosis1.019626648
Mean6.382941676
Median Absolute Deviation (MAD)1.63867471
Skewness1.014799873
Sum1499.991294
Variance7.74838598
MonotonicityNot monotonic
2022-04-02T14:31:21.962904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.570509942
 
0.8%
3.4187651382
 
0.8%
5.2597930752
 
0.8%
5.237178331
 
0.4%
12.315758711
 
0.4%
8.269662861
 
0.4%
3.26105691
 
0.4%
15.754287651
 
0.4%
9.049670221
 
0.4%
5.330165391
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.843982581
0.4%
2.142220021
0.4%
2.159501081
0.4%
2.276343581
0.4%
2.329375271
0.4%
2.383563041
0.4%
2.388923171
0.4%
2.560977941
0.4%
2.613312011
0.4%
2.61378361
0.4%
ValueCountFrequency (%)
16.427854541
0.4%
16.233503341
0.4%
15.754287651
0.4%
14.35729981
0.4%
13.67662431
0.4%
13.439409261
0.4%
12.552592281
0.4%
12.315758711
0.4%
12.290539741
0.4%
11.963971251
0.4%

2010
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct233
Distinct (%)98.7%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean6.267835427
Minimum1.81856561
Maximum16.88332939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:22.093555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.81856561
5-th percentile2.680457647
Q14.248500116
median5.468346355
Q38.062025308
95-th percentile11.12808418
Maximum16.88332939
Range15.06476378
Interquartile range (IQR)3.813525192

Descriptive statistics

Standard deviation2.786736017
Coefficient of variation (CV)0.4446089961
Kurtosis1.329663816
Mean6.267835427
Median Absolute Deviation (MAD)1.601923465
Skewness1.025371812
Sum1479.209161
Variance7.765897628
MonotonicityNot monotonic
2022-04-02T14:31:22.224788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5200184672
 
0.8%
3.253289832
 
0.8%
5.1119964552
 
0.8%
5.03797771
 
0.4%
12.69640161
 
0.4%
7.241383081
 
0.4%
3.164742951
 
0.4%
15.717487941
 
0.4%
9.727813721
 
0.4%
5.021605011
 
0.4%
Other values (223)223
83.8%
(Missing)30
 
11.3%
ValueCountFrequency (%)
1.818565611
0.4%
1.85172881
0.4%
1.870177751
0.4%
1.955859541
0.4%
2.107560161
0.4%
2.278261181
0.4%
2.330744741
0.4%
2.475567821
0.4%
2.489966631
0.4%
2.596757891
0.4%
ValueCountFrequency (%)
16.883329391
0.4%
16.259222031
0.4%
15.850923541
0.4%
15.717487941
0.4%
13.106245041
0.4%
12.69640161
0.4%
11.908086521
0.4%
11.571961221
0.4%
11.565674761
0.4%
11.545520781
0.4%

2011
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct234
Distinct (%)98.7%
Missing29
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean6.201892094
Minimum1.55349779
Maximum16.1985054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:22.356439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.55349779
5-th percentile2.532980108
Q14.30527449
median5.44272171
Q37.96692228
95-th percentile10.78611012
Maximum16.1985054
Range14.64500761
Interquartile range (IQR)3.66164779

Descriptive statistics

Standard deviation2.760051879
Coefficient of variation (CV)0.445033844
Kurtosis1.029820788
Mean6.201892094
Median Absolute Deviation (MAD)1.677080194
Skewness0.9375790518
Sum1469.848426
Variance7.617886374
MonotonicityNot monotonic
2022-04-02T14:31:22.480110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.442721712
 
0.8%
3.2064829692
 
0.8%
5.4289217472
 
0.8%
8.788681031
 
0.4%
2.473836661
 
0.4%
4.30782891
 
0.4%
7.493751531
 
0.4%
3.314519411
 
0.4%
15.598728661
 
0.4%
9.831933021
 
0.4%
Other values (224)224
84.2%
(Missing)29
 
10.9%
ValueCountFrequency (%)
1.553497791
0.4%
1.599962121
0.4%
1.752372621
0.4%
1.864097241
0.4%
1.926669241
0.4%
1.944575071
0.4%
2.178746941
0.4%
2.293977981
0.4%
2.333035231
0.4%
2.344426391
0.4%
ValueCountFrequency (%)
16.19850541
0.4%
15.809988981
0.4%
15.598728661
0.4%
14.939814571
0.4%
13.281343461
0.4%
13.095274931
0.4%
11.975706471
0.4%
11.605743951
0.4%
11.588399891
0.4%
11.312986371
0.4%

2012
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct234
Distinct (%)99.2%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean6.202179924
Minimum1.26357603
Maximum16.17543411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:22.603752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.26357603
5-th percentile2.624964597
Q14.27428281
median5.502273594
Q37.911022665
95-th percentile10.68755698
Maximum16.17543411
Range14.91185808
Interquartile range (IQR)3.636739855

Descriptive statistics

Standard deviation2.703516655
Coefficient of variation (CV)0.4358978114
Kurtosis0.9715227179
Mean6.202179924
Median Absolute Deviation (MAD)1.646768249
Skewness0.9122344078
Sum1463.714462
Variance7.309002305
MonotonicityNot monotonic
2022-04-02T14:31:22.724682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5253329982
 
0.8%
5.2275716222
 
0.8%
5.246406081
 
0.4%
4.276750561
 
0.4%
8.478985791
 
0.4%
3.457863571
 
0.4%
15.600405251
 
0.4%
9.266592981
 
0.4%
4.307322031
 
0.4%
3.359842781
 
0.4%
Other values (224)224
84.2%
(Missing)30
 
11.3%
ValueCountFrequency (%)
1.263576031
0.4%
1.748221521
0.4%
1.850972181
0.4%
1.909710291
0.4%
2.076375961
0.4%
2.234752421
0.4%
2.333114391
0.4%
2.359399321
0.4%
2.395749571
0.4%
2.410211321
0.4%
ValueCountFrequency (%)
16.175434111
0.4%
15.600405251
0.4%
15.328466421
0.4%
14.780485151
0.4%
12.27709771
0.4%
12.123789431
0.4%
11.738799061
0.4%
11.714142071
0.4%
11.582894331
0.4%
11.297400471
0.4%

2013
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.322040044
Minimum1.87566769
Maximum18.60474205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:22.850360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.87566769
5-th percentile2.810981274
Q14.389048575
median5.57465124
Q37.95701885
95-th percentile11.12347317
Maximum18.60474205
Range16.72907436
Interquartile range (IQR)3.567970275

Descriptive statistics

Standard deviation2.759167299
Coefficient of variation (CV)0.4364362263
Kurtosis1.824809634
Mean6.322040044
Median Absolute Deviation (MAD)1.60714412
Skewness1.103190236
Sum1485.67941
Variance7.613004186
MonotonicityNot monotonic
2022-04-02T14:31:22.966080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.301022612
 
0.8%
3.6274604842
 
0.8%
5.1797193032
 
0.8%
8.929533961
 
0.4%
2.867998841
 
0.4%
4.683036331
 
0.4%
11.579107281
 
0.4%
3.512752061
 
0.4%
15.503606171
 
0.4%
9.064487461
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.875667691
0.4%
1.8983141
0.4%
1.943470481
0.4%
2.076201681
0.4%
2.149830341
0.4%
2.399849891
0.4%
2.487892871
0.4%
2.60280181
0.4%
2.654468541
0.4%
2.662867071
0.4%
ValueCountFrequency (%)
18.604742051
0.4%
16.064517971
0.4%
15.503606171
0.4%
15.134927751
0.4%
12.151763781
0.4%
12.138486861
0.4%
12.068371771
0.4%
11.747599511
0.4%
11.742388481
0.4%
11.579107281
0.4%

2014
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.374193334
Minimum1.91436803
Maximum19.72741699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:23.089784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.91436803
5-th percentile2.880163814
Q14.445872978
median5.50347328
Q37.90582943
95-th percentile11.17842942
Maximum19.72741699
Range17.81304896
Interquartile range (IQR)3.459956452

Descriptive statistics

Standard deviation2.824082791
Coefficient of variation (CV)0.4430494406
Kurtosis2.791502943
Mean6.374193334
Median Absolute Deviation (MAD)1.55591869
Skewness1.325955986
Sum1497.935434
Variance7.97544361
MonotonicityNot monotonic
2022-04-02T14:31:23.207466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.6178102852
 
0.8%
3.5355992562
 
0.8%
4.9415718812
 
0.8%
9.344933511
 
0.4%
3.467243911
 
0.4%
5.493996141
 
0.4%
9.712050441
 
0.4%
3.710369831
 
0.4%
15.692465981
 
0.4%
8.408908841
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.914368031
0.4%
1.973117111
0.4%
2.08692671
0.4%
2.192923781
0.4%
2.298455481
0.4%
2.422935721
0.4%
2.434128521
0.4%
2.532821181
0.4%
2.655883791
0.4%
2.667438271
0.4%
ValueCountFrequency (%)
19.727416991
0.4%
16.861516951
0.4%
16.253332141
0.4%
15.692465981
0.4%
14.936822891
0.4%
12.309510581
0.4%
12.14123441
0.4%
12.12157441
0.4%
11.895913351
0.4%
11.878261371
0.4%

2015
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.497063176
Minimum1.81881714
Maximum20.413414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:23.331507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.81881714
5-th percentile2.977966973
Q14.5851779
median5.72277403
Q37.823791511
95-th percentile11.43853893
Maximum20.413414
Range18.59459686
Interquartile range (IQR)3.238613611

Descriptive statistics

Standard deviation2.895901574
Coefficient of variation (CV)0.445724706
Kurtosis3.250199839
Mean6.497063176
Median Absolute Deviation (MAD)1.578816816
Skewness1.452322407
Sum1526.809846
Variance8.386245928
MonotonicityNot monotonic
2022-04-02T14:31:23.666611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0297821722
 
0.8%
3.5151836372
 
0.8%
5.1855637312
 
0.8%
10.131468771
 
0.4%
3.673637631
 
0.4%
5.69995881
 
0.4%
9.333340641
 
0.4%
3.818196061
 
0.4%
16.068724151
 
0.4%
9.981096271
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.818817141
0.4%
2.028467661
0.4%
2.387089011
0.4%
2.453664541
0.4%
2.456684831
0.4%
2.605794911
0.4%
2.639472961
0.4%
2.65743781
0.4%
2.687119251
0.4%
2.907416821
0.4%
ValueCountFrequency (%)
20.4134141
0.4%
17.035697941
0.4%
16.699592591
0.4%
16.524072651
0.4%
16.068724151
0.4%
13.736285211
0.4%
12.814013481
0.4%
12.689080691
0.4%
12.456487661
0.4%
12.283576231
0.4%

2016
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct231
Distinct (%)98.7%
Missing32
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean6.520121579
Minimum1.62753129
Maximum17.37360954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:23.793266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.62753129
5-th percentile3.070235883
Q14.521999715
median5.799311145
Q37.891714327
95-th percentile11.59306044
Maximum17.37360954
Range15.74607825
Interquartile range (IQR)3.369714612

Descriptive statistics

Standard deviation2.838601249
Coefficient of variation (CV)0.4353601715
Kurtosis1.903970313
Mean6.520121579
Median Absolute Deviation (MAD)1.629672268
Skewness1.213559265
Sum1525.708449
Variance8.05765705
MonotonicityNot monotonic
2022-04-02T14:31:23.914944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.1568315072
 
0.8%
3.4559335842
 
0.8%
6.4756090212
 
0.8%
4.911942961
 
0.4%
5.423798081
 
0.4%
5.706785681
 
0.4%
10.879666331
 
0.4%
3.685696841
 
0.4%
16.405564091
 
0.4%
9.32232381
 
0.4%
Other values (221)221
83.1%
(Missing)32
 
12.0%
ValueCountFrequency (%)
1.627531291
0.4%
2.330630541
0.4%
2.360874891
0.4%
2.472912071
0.4%
2.548286911
0.4%
2.713149071
0.4%
2.72740031
0.4%
2.739500281
0.4%
2.790675161
0.4%
2.892869231
0.4%
ValueCountFrequency (%)
17.373609541
0.4%
16.844324111
0.4%
16.52595521
0.4%
16.405564091
0.4%
15.609964371
0.4%
13.139224051
0.4%
12.854309281
0.4%
12.454837241
0.4%
12.414491631
0.4%
12.21775151
0.4%

2017
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.480720984
Minimum1.64274836
Maximum16.80583572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:24.042603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.64274836
5-th percentile2.903608534
Q14.559128478
median6.02940798
Q38.035410431
95-th percentile11.50539865
Maximum16.80583572
Range15.16308736
Interquartile range (IQR)3.476281953

Descriptive statistics

Standard deviation2.783426461
Coefficient of variation (CV)0.4294933339
Kurtosis1.529169832
Mean6.480720984
Median Absolute Deviation (MAD)1.716280495
Skewness1.071767806
Sum1522.969431
Variance7.747462865
MonotonicityNot monotonic
2022-04-02T14:31:24.163283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6393747682
 
0.8%
2.9914842672
 
0.8%
5.1756077882
 
0.8%
10.315890311
 
0.4%
3.337228781
 
0.4%
5.809432511
 
0.4%
10.887559891
 
0.4%
3.704136611
 
0.4%
16.341191131
 
0.4%
8.725739481
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.642748361
0.4%
2.229709631
0.4%
2.270364281
0.4%
2.431801561
0.4%
2.464768411
0.4%
2.518127441
0.4%
2.526068211
0.4%
2.619108681
0.4%
2.76291491
0.4%
2.780688291
0.4%
ValueCountFrequency (%)
16.805835721
0.4%
16.778526311
0.4%
16.341191131
0.4%
16.077783581
0.4%
12.813138651
0.4%
12.620817181
0.4%
12.412201741
0.4%
12.370509151
0.4%
12.214387891
0.4%
12.044225691
0.4%

2018
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean6.458654952
Minimum1.59628761
Maximum19.03600502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:24.288976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.59628761
5-th percentile2.852662969
Q14.42605114
median5.86705875
Q38.0253129
95-th percentile11.24520912
Maximum19.03600502
Range17.43971741
Interquartile range (IQR)3.59926176

Descriptive statistics

Standard deviation2.855404553
Coefficient of variation (CV)0.4421051402
Kurtosis2.278690585
Mean6.458654952
Median Absolute Deviation (MAD)1.73884773
Skewness1.19406105
Sum1517.783914
Variance8.153335161
MonotonicityNot monotonic
2022-04-02T14:31:24.409681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.2156341352
 
0.8%
3.0452300922
 
0.8%
5.0067173152
 
0.8%
10.023945811
 
0.4%
3.579090121
 
0.4%
5.867058751
 
0.4%
9.828989981
 
0.4%
3.748330831
 
0.4%
16.232876331
 
0.4%
8.314280511
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
1.596287611
0.4%
1.936491731
0.4%
2.246303321
0.4%
2.262542491
0.4%
2.266303541
0.4%
2.412893771
0.4%
2.504164461
0.4%
2.508030411
0.4%
2.540102241
0.4%
2.625149971
0.4%
ValueCountFrequency (%)
19.036005021
0.4%
17.002189641
0.4%
16.687105181
0.4%
16.232876331
0.4%
14.126743321
0.4%
12.763586061
0.4%
12.340888491
0.4%
12.339622551
0.4%
11.703625681
0.4%
11.69836331
0.4%

2019
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct231
Distinct (%)98.7%
Missing32
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean6.526422063
Minimum1.5251174
Maximum23.96181297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:31:24.540498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.5251174
5-th percentile2.908636264
Q14.463253977
median5.85816437
Q37.942348989
95-th percentile11.33699355
Maximum23.96181297
Range22.43669557
Interquartile range (IQR)3.479095011

Descriptive statistics

Standard deviation2.98683821
Coefficient of variation (CV)0.4576532411
Kurtosis5.207501994
Mean6.526422063
Median Absolute Deviation (MAD)1.76597934
Skewness1.594200266
Sum1527.182763
Variance8.92120249
MonotonicityNot monotonic
2022-04-02T14:31:24.657183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.704334282
 
0.8%
3.0980814142
 
0.8%
4.9452816842
 
0.8%
10.521347051
 
0.4%
3.303297281
 
0.4%
6.199437141
 
0.4%
7.393411641
 
0.4%
3.825141911
 
0.4%
16.32187971
 
0.4%
8.497005461
 
0.4%
Other values (221)221
83.1%
(Missing)32
 
12.0%
ValueCountFrequency (%)
1.52511741
0.4%
1.798267841
0.4%
2.083310841
0.4%
2.160313611
0.4%
2.300360921
0.4%
2.388429161
0.4%
2.483576061
0.4%
2.533359531
0.4%
2.598523621
0.4%
2.768362051
0.4%
ValueCountFrequency (%)
23.961812971
0.4%
16.767063141
0.4%
16.341400151
0.4%
16.32187971
0.4%
15.150488851
0.4%
13.242201811
0.4%
12.960384861
0.4%
12.534207411
0.4%
12.532468131
0.4%
11.697249411
0.4%

2020
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

Interactions

2022-04-02T14:31:15.494378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:30:37.560919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:30:39.385989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:30:41.597337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:30:43.530349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:31:05.280882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:31:07.477607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:31:09.409829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:31:11.563761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:31:13.447827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:31:15.402623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-04-02T14:31:25.645110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-04-02T14:31:26.444773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-04-02T14:31:27.161774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-04-02T14:31:17.801026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-04-02T14:31:18.467191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-04-02T14:31:18.905021image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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